Augmented coarrays can be derived from spatially undersampled signals of sparse arrays
for underdetermined direction-of-arrival (DOA) estimation. With the extended dimension of …

Sparse arrays are known to achieve an increased number of degrees-of-freedom (DOFs) for
direction-of-arrival (DOA) estimation, where an augmented virtual uniform array calculated …

Semantic communications can reduce the resource consumption by transmitting task-related
semantic information extracted from source messages. However, when the source …

Direction of arrival (DOA) is one of the essential topics in array signal processing that has
many applications in communications, smart antennas, seismology, acoustics, radars, and …

Existing sparse array (SA) geometries, such as coprime and nested arrays, can be regarded
as a concatenation of two uniform linear arrays (ULAs). Such arrays lead to a significant …

Existing tensor-based coherent direction-of-arrival (DOA) estimation methods adopting
spatial smoothing to decorrelate the coherent tensor statistics usually lead to a poor …

As compared with sparse scalar arrays and uniform diversely polarized arrays, sparse
diversely polarized arrays show respectively advantages of possessing the ability of sensing …

Adaptive beamforming plays an increasingly vital role in various applications, including
radar, sonar, telecommunications, and many other related fields. In this paper, we present …

Direction-of-arrival (DOA) estimation using sub-Nyquist tensor signals benefits from
enhanced performance by extracting structural angular information with multi-dimensional …

Centrality is an effective method to identify important nodes in complex networks, but it is still
a challenge to find influential nodes by making full use of multiple relationships and global …